We are building highly scalable, microservice-driven data pipelines that ingest raw NOAA oceanography metrics—like Sea Surface Temperature (SST) and Chlorophyll-a fronts—and translate them into actionable routing parameters for commercial fleets.
By mapping high-probability pelagic zones via thermal and biological telemetry, fleets reduce blind steaming time and dramatically lower diesel consumption.
Ingesting HRRR and WW3 marine models lets us dynamically compute accurate vessel ETAs, perfectly syncing port-side refrigeration trucks and processors.
Preventing post-catch food waste and maximizing transit efficiency directly drives down the carbon footprint of global maritime seafood distribution networks.
This project integrates industry-standard frontend aesthetics with highly optimized data fetching primitives designed to interface directly with cloud-native backends.